An approach to fault diagnosis for a class of nonlinear systems is proposed in this paper. It is
based on a new adaptive estimation algorithm for recursive estimation of the parameters …

Anomaly detection is addressed within a statistical framework. Often the statistical model is
composed of two types of parameters: the informative parameters and the nuisance ones …

Motivated by constant parameter estimation in nonlinear models, as well as state
observation in dynamical systems, an adaptive observer is proposed for a class of nonlinear …

A nonlinear global exponential adaptive observer is proposed in this paper for joint state-
parameter estimation. It is conceptually simple and numerically efficient. Its design is based …

In this paper, descending viewer method (DVM) projected for finding and fault tolerant
control of stator inter-turn short circuit faults in doubly-fed induction generators based in wind …

Recently, more and more attention has been paid to the use of chaos in the secure data
transmission. Indeed, since the pioneering work of Pecora and Carrol, who demonstrated …

Récemment, de plus en plus d'attention a été accordée à l'utilisation du chaos dans la
transmission sécurisée de données. En effet, depuis le travail pionnier de Pecora et Carrol …

Résumé Dans ce travail, Nous présentons les caractéristiques des systèmes mécaniques
ayant un effet direct sur l'évaluation de leur fiabilité, et les principales méthodes d'évaluation …

Cette thèse a un double objectif; en effet, dans un premier temps, le but est d'utiliser les
outils de l'Automatique moderne (La théorie du contrôle en mathématique) pour résoudre …

In this paper, we present a method for the fault detection based on the residual generation.
The main idea is to reconstruct the outputs of the system from the measurements using the …